Expert Answers to Amazon Web Services Exam DOP-C02 Questions

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AWS Certified Professional AWS Certified DevOps Engineer - Professional

AWS Certified DevOps Engineer - Professional

Last Update Dec 22, 2024
Total Questions : 250

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Questions 2

A DevOps engineer needs to implement integration tests into an existing AWS CodePipelme CI/CD workflow for an Amazon Elastic Container Service (Amazon ECS) service. The CI/CD workflow retrieves new application code from an AWS CodeCommit repository and builds a container image. The CI/CD workflow then uploads the container image to Amazon Elastic Container Registry (Amazon ECR) with a new image tag version.

The integration tests must ensure that new versions of the service endpoint are reachable and that vanous API methods return successful response data The DevOps engineer has already created an ECS cluster to test the service

Which combination of steps will meet these requirements with the LEAST management overhead? (Select THREE.)

Options:

Add a deploy stage to the pipeline Configure Amazon ECS as the action provider

Add a deploy stage to the pipeline Configure AWS CodeDeploy as the action provider

Add an appspec.yml file to the CodeCommit repository

Update the image build pipeline stage to output an imagedefinitions json file that references the new image tag.

Create an AWS Lambda function that runs connectivity checks and API calls against the service. Integrate the Lambda function with CodePipeline by using aLambda action stage

Write a script that runs integration tests against the service. Upload the script to an Amazon S3 bucket. Integrate the script in the S3 bucket with CodePipeline by using an S3 action stage.

Discussion 0

Answer:

A, D, E

Explanation:

 Add a Deploy Stage to the Pipeline, Configure Amazon ECS as the Action Provider:

By adding a deploy stage to the pipeline and configuring Amazon ECS as the action provider, the pipeline can automatically deploy the new container image to the ECS cluster.

This ensures that the service is updated with the new image tag, making the new version of the service endpoint reachable.

[Reference:AWS CodePipeline with ECS,  Update the Image Build Pipeline Stage to Output an imagedefinitions.json File that References the New Image Tag:, Theimagedefinitions.jsonfile provides the necessary information about the container images and their tags for the ECS task definitions., Updating the pipeline to output this file ensures that the correct image version is deployed., Exampleimagedefinitions.json, , [, {, "name": "container-name",, "imageUri": "123456789012.dkr.ecr.region.amazonaws.com/my-repo:my-tag", }, ], , ,  Reference:CodePipeline ECS Deployment,  Create an AWS Lambda Function that Runs Connectivity Checks and API Calls against the Service. Integrate the Lambda Function with CodePipeline by Using a Lambda Action Stage:, The Lambda function can perform the necessary integration tests by making connectivity checks and API calls to the deployed service endpoint., Integrating this Lambda function into CodePipeline ensures that these tests are run automatically after deployment, providing near-real-time feedback on the new deployment’s health., , Example Lambda function integration:, actions:, - name: TestService, actionTypeId:, category: Test, owner: AWS, provider: Lambda, version: 1, runOrder: 2, configuration:, FunctionName: testServiceFunction, , Reference:Integrating Lambda with CodePipeline, These steps ensure that the CI/CD workflow deploys the new container image to ECS, updates the image references, and performs integration tests, meeting the requirements with minimal management overhead., , , ]

Questions 3

A company recently deployed its web application on AWS. The company is preparing for a large-scale sales event and must ensure that the web application can scale to meet the demand

The application's frontend infrastructure includes an Amazon CloudFront distribution that has an Amazon S3 bucket as an origin. The backend infrastructure includes an Amazon API Gateway API. several AWS Lambda functions, and an Amazon Aurora DB cluster

The company's DevOps engineer conducts a load test and identifies that the Lambda functions can fulfill the peak number of requests However, the DevOps engineer notices request latency during the initial burst of requests Most of the requests to the Lambda functions produce queries to the database A large portion of the invocation time is used to establish database connections

Which combination of steps will provide the application with the required scalability? (Select TWO)

Options:

Configure a higher reserved concurrency for the Lambda functions.

Configure a higher provisioned concurrency for the Lambda functions

Convert the DB cluster to an Aurora global database Add additional Aurora Replicas in AWS Regions based on the locations of the company's customers.

Refactor the Lambda Functions Move the code blocks that initialize database connections into the function handlers.

Use Amazon RDS Proxy to create a proxy for the Aurora database Update the Lambda functions to use the proxy endpoints for database connections.

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Questions 4

An ecommerce company uses a large number of Amazon Elastic Block Store (Amazon EBS) backed Amazon EC2 instances. To decrease manual work across all the instances, a DevOps engineer is tasked with automating restart actions when EC2 instance retirement events are scheduled.

How can this be accomplished?

Options:

Create a scheduled Amazon EventBridge rule to run an AWS Systems Manager Automation runbook that checks if any EC2 instances are scheduled for retirement once a week If the instance is scheduled for retirement the runbook will hibernate the instance

Enable EC2Auto Recovery on all of the instances. Create an AWS Config rule to limit the recovery to occur during a maintenance window only

Reboot all EC2 instances during an approved maintenance window that is outside of standard business hours Set up Amazon CloudWatch alarms to send a notification in case any instance is failing EC2 instance status checks

Set up an AWS Health Amazon EventBridge rule to run AWS Systems Manager Automation runbooks that stop and start the EC2 instance when a retirement scheduled event occurs.

Discussion 0

Questions 5

A DevOps engineer has created an AWS CloudFormation template that deploys an application on Amazon EC2 instances The EC2 instances run Amazon Linux The application is deployed to the EC2 instances by using shell scripts that contain user data. The EC2 instances have an 1AM instance profile that has an 1AM role with the AmazonSSMManagedlnstanceCore managed policy attached

The DevOps engineer has modified the user data in the CloudFormation template to install a new version of the application. The engineer has also applied the stack update. However, the application was not updated on the running EC2 instances. The engineer needs to ensure that the changes to the application are installed on the running EC2 instances.

Which combination of steps will meet these requirements? (Select TWO.)

Options:

Configure the user data content to use the Multipurpose Internet Mail Extensions (MIME) multipart format. Set the scripts-user parameter to always in the text/cloud-config section.

Refactor the user data commands to use the cfn-init helper script. Update the user data to install and configure the cfn-hup and cfn-mit helper scripts to monitor and apply the metadata changes

Configure an EC2 launch template for the EC2 instances. Create a new EC2 Auto Scaling group. Associate the Auto Scaling group with the EC2 launch template Use the AutoScalingScheduledAction update policy for the Auto Scaling group.

Refactor the user data commands to use an AWS Systems Manager document (SSM document). Add an AWS CLI command in the user data to use Systems Manager Run Command to apply the SSM document to the EC2 instances

Refactor the user data command to use an AWS Systems Manager document (SSM document) Use Systems Manager State Manager to create an association between the SSM document and the EC2 instances.

Discussion 0